Design optimisation of front-end neural interfaces for spike sorting systems

Deren Y. Barsakcioglu, Amir Eftekhar, Timothy G. Constandinou
2013 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)  
This work investigates the impact of the analogue front-end design (pre-amplifier, filter and converter) on spike sorting performance in neural interfaces. By examining key design parameters including the signal-to-noise ratio, bandwidth, filter type/order, data converter resolution and sampling rate, their sensitivity to spike sorting accuracy is assessed. This is applied to commonly used spike sorting methods such as template matching, 2 nd derivative-features, and principle component
more » ... e component analysis. The results reveal a near optimum set of parameters to increase performance given the hardware-constraints. Finally, the relative costs of these design parameters on resource efficiency (silicon area and power requirements) are quantified through reviewing the state-of-the-art.
doi:10.1109/iscas.2013.6572387 dblp:conf/iscas/BarsakciogluEC13 fatcat:5tm4z5or7rhvvbcvj2wnxttnzq